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657 tutors in 31 topics, built by 75 teachers. Each one follows a lesson plan its teacher wrote.

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657 tutors

Async Python for Many API Calls

Async Python for Many API Calls

Run hundreds of model or web API calls concurrently with asyncio, limits, retries and clean results.AdvancedBuilding with LLM APIs4.7(3)41 lessonsSample
Felix Brandt$9
How to read a deep learning paper

How to read a deep learning paper

Read papers in passes, find the real claim and judge the evidence behind itAll levelsAI for research and study4.7(3)41 lessonsSample
Nikolai Sorin$6
Reinforcement learning basics

Reinforcement learning basics

Understand agents, rewards and policies, and compute a Q learning update yourselfBeginnerDeep learning4.7(3)41 lessonsSample
Nikolai SorinFree
Chunking Documents for Retrieval

Chunking Documents for Retrieval

Split documents into retrievable chunks that keep their meaning, then tune chunk size with real measurements.IntermediateRAG and search4.5(2)41 lessonsSample
Emeka Nwosu$6
Understanding Hard Subjects: Explanations and Self Checks

Understanding Hard Subjects: Explanations and Self Checks

Get to real understanding of difficult topics with multiple explanations, analogies and teach back checks.IntermediateAI for research and study4.5(2)40 lessonsSample
Chidi Nwosu$6
Probability Intuition Without Formulas

Probability Intuition Without Formulas

Reason about chance, risk and test results using counts instead of equationsBeginnerData science and statistics4.7(3)40 lessonsSample
Lina Khoury$3
Meeting and Documentation Culture With AI

Meeting and Documentation Culture With AI

Use AI notes and summaries to cut meeting waste while keeping consent, accuracy and trustBeginnerAI for product and operations4.7(3)40 lessonsSample
Saoirse KellyFree
When Retrieval Is the Wrong Tool

When Retrieval Is the Wrong Tool

Decide when RAG fits a problem and when a database query, tool call, longer prompt or plain search fits better.All levelsRAG and search4.5(2)40 lessonsSample
Fumiko Arai$5
Context First: Prompts That Give AI What It Needs

Context First: Prompts That Give AI What It Needs

Add the background, goal and constraints that turn a vague answer into a useful one.BeginnerPrompting4.7(3)40 lessonsSample
Chiara Bellini$3
Thesis Support: Using AI Within the Rules

Thesis Support: Using AI Within the Rules

Plan, organise and write a thesis or dissertation with AI support that your supervisor and institution accept.AdvancedAI for research and study4.5(2)40 lessonsSample
Delphine Moreau$13
Transcription and Subtitles You Can Trust

Transcription and Subtitles You Can Trust

Turn speech into accurate transcripts and readable subtitles, and check them properlyBeginnerAudio and voice AI4.5(2)40 lessonsSample
Pavel NovakFree
Writing Documentation and Comments with AI

Writing Documentation and Comments with AI

Use an assistant to draft READMEs, docstrings and guides that are accurate, useful and kept up to dateBeginnerAI coding assistants4.5(2)40 lessonsSample
Ilse Vermeulen$3